| 70.97% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "she asked suddenly [suddenly]" | | 2 | "he said quietly [quietly]" | | 3 | "she asked again [again]" |
| | dialogueSentences | 62 | | tagDensity | 0.274 | | leniency | 0.548 | | rawRatio | 0.235 | | effectiveRatio | 0.129 | |
| 70.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1200 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "carefully" | | 3 | "sharply" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 29.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1200 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanned" | | 2 | "pulse" | | 3 | "weight" | | 4 | "silence" | | 5 | "unspoken" | | 6 | "traced" | | 7 | "charged" | | 8 | "could feel" | | 9 | "familiar" | | 10 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 103 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1192 | | ratio | 0.003 | | matches | | 0 | "The Raven’s Nest" | | 1 | "thud" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 932 | | uniqueNames | 4 | | maxNameDensity | 2.36 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Blackwood | 1 | | Rory | 22 | | Silas | 19 |
| | persons | | 0 | "Raven" | | 1 | "Blackwood" | | 2 | "Rory" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.32 | | windowScore | 0 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like forgotten bones" | | 1 | "tasted like ash on her tongue" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1192 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 148 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 15.28 | | std | 15.82 | | cv | 1.035 | | sampleLengths | | 0 | 71 | | 1 | 74 | | 2 | 4 | | 3 | 80 | | 4 | 7 | | 5 | 15 | | 6 | 20 | | 7 | 11 | | 8 | 32 | | 9 | 13 | | 10 | 51 | | 11 | 6 | | 12 | 3 | | 13 | 29 | | 14 | 5 | | 15 | 20 | | 16 | 49 | | 17 | 14 | | 18 | 19 | | 19 | 11 | | 20 | 11 | | 21 | 5 | | 22 | 50 | | 23 | 12 | | 24 | 15 | | 25 | 12 | | 26 | 4 | | 27 | 19 | | 28 | 7 | | 29 | 15 | | 30 | 5 | | 31 | 32 | | 32 | 25 | | 33 | 6 | | 34 | 15 | | 35 | 12 | | 36 | 16 | | 37 | 14 | | 38 | 5 | | 39 | 27 | | 40 | 7 | | 41 | 7 | | 42 | 2 | | 43 | 9 | | 44 | 1 | | 45 | 2 | | 46 | 7 | | 47 | 7 | | 48 | 4 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 170 | | matches | (empty) | |
| 46.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 148 | | ratio | 0.034 | | matches | | 0 | "Inside, the air smelled of aged whiskey and something sharper—old leather, maybe, or the faintest trace of gun oil." | | 1 | "The usual hum of conversation, the clink of glasses, the low murmur of laughter—all of it muted, as if the place itself had exhaled." | | 2 | "His auburn hair was streaked with grey now, thicker than she recalled, and his beard—neat, precise—covered half his jaw." | | 3 | "“You look like hell,” he said, and she almost laughed—because he did too." | | 4 | "The barkeep—a young man with a sharp jaw and a bored expression—glanced at them before turning back to his phone." |
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| 88.97% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 940 | | adjectiveStacks | 1 | | stackExamples | | 0 | "neat, precise—covered half" |
| | adverbCount | 43 | | adverbRatio | 0.045744680851063826 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01276595744680851 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 8.05 | | std | 5.57 | | cv | 0.691 | | sampleLengths | | 0 | 23 | | 1 | 19 | | 2 | 16 | | 3 | 13 | | 4 | 7 | | 5 | 24 | | 6 | 16 | | 7 | 5 | | 8 | 7 | | 9 | 15 | | 10 | 4 | | 11 | 18 | | 12 | 19 | | 13 | 21 | | 14 | 22 | | 15 | 7 | | 16 | 15 | | 17 | 20 | | 18 | 3 | | 19 | 7 | | 20 | 1 | | 21 | 8 | | 22 | 10 | | 23 | 14 | | 24 | 13 | | 25 | 13 | | 26 | 20 | | 27 | 5 | | 28 | 13 | | 29 | 6 | | 30 | 3 | | 31 | 8 | | 32 | 15 | | 33 | 6 | | 34 | 5 | | 35 | 17 | | 36 | 3 | | 37 | 8 | | 38 | 15 | | 39 | 7 | | 40 | 19 | | 41 | 9 | | 42 | 5 | | 43 | 4 | | 44 | 15 | | 45 | 11 | | 46 | 3 | | 47 | 8 | | 48 | 2 | | 49 | 3 |
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| 44.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.25170068027210885 | | totalSentences | 147 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 90 | | matches | | 0 | "Even the pool table stood" | | 1 | "Then she saw him." | | 2 | "Then he smiled, slow and" | | 3 | "Instead, she reached into her" |
| | ratio | 0.044 | |
| 91.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 90 | | matches | | 0 | "She scanned the dimly lit" | | 1 | "His auburn hair was streaked" | | 2 | "He wore a dark suit," | | 3 | "His left leg gave a" | | 4 | "he said, his voice rougher" | | 5 | "She swallowed hard, her throat" | | 6 | "His name tasted like ash" | | 7 | "She stepped forward, her boots" | | 8 | "he said, and she almost" | | 9 | "She slid onto the stool" | | 10 | "He just watched her, his" | | 11 | "she said finally" | | 12 | "She wanted to ask him" | | 13 | "She wanted to ask how" | | 14 | "He just stared at it," | | 15 | "he said at last, his" | | 16 | "He let out a dry" | | 17 | "She didn’t answer." | | 18 | "She took a sip, the" | | 19 | "He nodded, as if she’d" |
| | ratio | 0.322 | |
| 4.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 90 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory paused on the threshold," | | 2 | "The bell above the door" | | 3 | "The bar was quieter than" | | 4 | "The usual hum of conversation," | | 5 | "She scanned the dimly lit" | | 6 | "The back corner was empty." | | 7 | "The booth by the jukebox" | | 8 | "Silas Blackwood sat at the" | | 9 | "His auburn hair was streaked" | | 10 | "He wore a dark suit," | | 11 | "His left leg gave a" | | 12 | "he said, his voice rougher" | | 13 | "Rory’s pulse jumped." | | 14 | "She swallowed hard, her throat" | | 15 | "His name tasted like ash" | | 16 | "She stepped forward, her boots" | | 17 | "The years between them stretched" | | 18 | "he said, and she almost" | | 19 | "She slid onto the stool" |
| | ratio | 0.911 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 1 | | matches | | 0 | "The usual hum of conversation, the clink of glasses, the low murmur of laughter—all of it muted, as if the place itself had exhaled." |
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| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, his voice rougher than she remembered," | | 1 | "he said, his voice low" | | 2 | "she said, though her voice cracked" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he agreed (agree)" |
| | dialogueSentences | 62 | | tagDensity | 0.274 | | leniency | 0.548 | | rawRatio | 0.118 | | effectiveRatio | 0.065 | |